Tigit, CD226 and PD-L1/PD-1 Are Highly Expressed By Marrow-Infiltrating T Cells in Patients with Multiple Myeloma

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2102-2102 ◽  
Author(s):  
Mahesh Yadav ◽  
Cherie Green ◽  
Connie Ma ◽  
Alberto Robert ◽  
Andrew Glibicky ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
Flow Cytometry ◽  
T Cells ◽  
T Cell ◽  
Nk Cells ◽  
Cd8 T Cells ◽  
Cd4 T Cells ◽  
Plasma Cells ◽  
Color Flow

Abstract Introduction:TIGIT (T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif [ITIM] domain) is an inhibitory immunoreceptor expressed by T and natural killer (NK) cells that is an important regulator of anti-tumor and anti-viral immunity. TIGIT shares its high-affinity ligand PVR (CD155) with the activating receptor CD226 (DNAM-1). We have recently shown that TIGIT blockade, together with PD-L1/PD-1 blockade, provides robust efficacy in syngeneic tumor and chronic viral infection models. Importantly, CD226 blockade abrogates the benefit of TIGIT blockade, suggesting additional benefit of TIGIT blockade through elaboration of CD226-mediated anti-tumor immunity, analogous to CTLA-4/CD28 regulation of T-cell immunity. Whether TIGIT and CD226 are expressed in patients with multiple myeloma (MM) and how TIGIT expression relates to PD-L1/PD-1 expression is unknown. Here we evaluate expression of TIGIT, CD226, PD-1 and PD-L1 in patients with MM to inform novel immunotherapy combinations. Methods:We performed multi-color flow cytometry (n = 25 patients), and multiplex qRT-PCR (n = 7) on bone marrow specimens from patients with MM to assess expression of TIGIT, CD226, PD-1, and PD-L1 on tumor and immune cells. Cells were stained with fluorescently conjugated monoclonal antibodies to label T cells (CD3, CD4, CD8), NK cells (CD56, CD3), plasma cells (CD38, CD45, CD319, CD56), inhibitory/activating receptors (PD-1, TIGIT, PD-L1, CD226), and an amine-reactive viability dye (7-AAD). Stained and fixed cells were analyzed by flow cytometry using BD FACSCanto™ and BD LSRFortessa™. Results:TIGIT, CD226 and PD-L1/PD-1 were detectable by flow cytometry in all patients with MM who were tested, with some overlapping and distinct expression patterns. TIGIT was commonly expressed by marrow-infiltrating CD8+ T cells (median, 65% of cells), CD4+ T cells (median, 12%) and NK cells. In contrast, CD226 was more commonly expressed by marrow-infiltrating CD4+ T cells (median, 74%) compared with CD8+ T cells (median, 38%). PD-1 was expressed by marrow-infiltrating CD8+ T cells (median 38%) and CD4+ T cells (median, 16%). TIGIT was co-expressed with PD-1 on CD8+ T cells (67%-97% TIGIT+ among PD-1+), although many PD-1-negative CD8+ T cells also expressed TIGIT (39%-78% of PD-1-negative). PD-L1 was also expressed by CD8+ (median, 23%) and CD4+ (median, 8%) T cells in addition to MM plasma cells (median, 95%), albeit with significantly lower intensity on T cells compared with plasma cells. The expression of TIGIT and PD-L1 mRNA was highly correlated (R2 = 0.80). Analysis of PVR expression will also be presented. Conclusions: TIGIT, CD226, PD-1, and PD-L1 were commonly expressed in MM bone marrow, but with different patterns. Among CD8+ T cells, the frequency of TIGIT+ T cells was almost twice that of PD-1+ T cells, whereas the majority of CD4+ T cells expressed CD226. TIGIT blockade may complement anti-PD-L1/PD-1 immunotherapy by activating distinct T-cell/NK-cell subsets with synergistic clinical benefit. These results provide new insight into the immune microenvironment of MM and rationale for targeting both the PD-L1/PD-1 interaction and TIGIT in MM. Disclosures Yadav: Genentech, Inc.: Employment. Green:Genentech, Inc.: Employment. Ma:Genentech, Inc.: Employment. Robert:Genentech, Inc.: Employment. Glibicky:Makro Technologies Inc.: Employment; Genentech, Inc.: Consultancy. Nakamura:Genentech, Inc.: Employment. Sumiyoshi:Genentech, Inc.: Employment. Meng:Genentech, Inc.: Employment, Equity Ownership. Chu:Genentech Inc.: Employment. Wu:Genentech: Employment. Byon:Genentech, Inc.: Employment. Woodard:Genentech, Inc.: Employment. Adamkewicz:Genentech, Inc.: Employment. Grogan:Genentech, Inc.: Employment. Venstrom:Roche-Genentech: Employment.

A Detailed Phenotypic Analysis Using Six Color Flow Cytometry of Lymphocyte Subsets Mobilized with AMD3100 Compared to G-CSF.

Blood ◽  
2004 ◽  
Vol 104 (11) ◽  
pp. 408-408 ◽  
Author(s):  
Yoshiyuki Takahashi ◽  
S. Chakrabarti ◽  
R. Sriniivasan ◽  
A. Lundqvist ◽  
E.J. Read ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
T Cells ◽  
T Cell ◽  
B Cells ◽  
Cd8 T Cells ◽  
Cd4 T Cells ◽  
Lymphocyte Subsets ◽  
Phenotypic Analysis ◽  
Color Flow ◽  
Cd34 Cells

Abstract AMD3100 (AMD) is a bicyclam compound that rapidly mobilizes hematopoietic progenitor cells into circulation by inhibiting stromal cell derived factor-1 binding to its cognate receptor CXCR4 present on CD34+ cells. Preliminary data in healthy donors and cancer patients show large numbers of CD34+ cells are mobilized following a single injection of AMD3100. To determine whether AMD3100 mobilized cells would be suitable for allografting, we performed a detailed phenotypic analysis using 6 color flow cytometry (CYAN Cytometer MLE) of lymphocyte subsets mobilized following the administration of AMD3100, given as a single 240mcg/kg injection either alone (n=4) or in combination with G-CSF (n=2: G-CSF 10 mcg/kg/day x 5: AMD3100 given on day 4). Baseline peripheral blood (PB) was obtained immediately prior to mobilization; in recipients who received both agents, blood was analyzed 4 days following G-CSF administration as well as 12 hours following administration of AMD3100 and a 5th dose of G-CSF. AMD3100 alone significantly increased from baseline the PB WBC count (2.8 fold), Absolute lymphocyte count (ALC: 2.5 fold), absolute monocyte count (AMC: 3.4 fold), and absolute neutrophil count (ANC: 2.8 fold). Subset analysis showed AMD3100 preferentially increased from baseline PB CD34+ progenitor counts (5.8 fold), followed by CD19+ B-cells (3.7 fold), CD14+ monocytes (3.4 fold), CD8+ T-cells (2.5 fold), CD4+ T-cells (1.8 fold), with a smaller increase in CD3−/CD16+ or CD56+ NK cell counts (1.6 fold). There was no change from baseline in the % of CD4+ or CD8+ T-cell expressing CD45RA, CD45RO, or CD56, CD57, CD27, CD71 or HLA-DR. In contrast, there was a decline compared to baseline in the mean percentage of CD3+/CD4+ T-cells expressing CD25 (5.5% vs 14.8%), CD62L (12.1% vs 41.1%), CCR7 (2.1% vs 10.5%) and CXCR4 (0.5% vs 40.9%) after AMD3100 administration; similar declines in expression of the same 4 surface markers were also observed in CD3+/CD8+ T-cells. A synergistic effect on the mobilization of CD34+ progenitors, CD19+ B cells, CD3+ T-cells and CD14+ monocytes occurred when AMD3100 was combined with G-CSF (Figure). In those receiving both AMD3100 and G-CSF, a fall in the % of T-cells expressing CCR7 and CXCR4 occurred 12 hours after the administration of AMD3100 compared to PB collected after 4 days of G-CSF; no other differences in the expression of a variety activation and/or adhesion molecules on T-cell subsets were observed. Whether differences in lymphocyte subsets mobilized with AMD3100 alone or in combination with G-CSF will impact immune reconstitution or other either immune sequela (i.e. GVHD, graft-vs-tumor) associated with allogeneic HCT is currently being assessed in an animal model of allogeneic transplantation.

scholarly journals Dominant Expression of PVRIG and TIGIT Inhibitory Pathways in Bone Marrow of Multiple Myeloma Patients

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4717-4717
Author(s):  
Masha Frenkel ◽  
Zoya Alteber ◽  
Ning Xu ◽  
Mingjie Li ◽  
Haiming Chen ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Plasma Cells ◽  
Myeloma Cell ◽  
Inhibitory Receptor ◽  
Preclinical Models ◽  
Cell Numbers

Abstract Introduction Blocking inhibitory immune checkpoints holds promise to treat multiple myeloma (MM) patients. However, currently available checkpoint inhibitors have not shown significant clinical benefits for MM patients, warranting the need for alternative checkpoint blockers. The immune checkpoint TIGIT was recently shown to be the most upregulated immune inhibitory receptor on CD8+ T cells in MM patients' bone marrow (BM), compared to other checkpoints (Guillerey C., Blood. 2018). Preclinical models demonstrated the dominant effects of TIGIT blockade or depletion, by significantly improving mice survival, reducing myeloma cell numbers and exhausted T cell hallmarks (Minnie S., Blood. 2018). As a result, several clinical trials using anti-TIGIT monoclonal antibodies have been recently initiated in MM patients. The DNAM-1 family, in addition to TIGIT, also includes the inhibitory receptor PVRIG, that competes with the co-activating receptor DNAM-1 for the binding to the shared ligand PVRL2, similarly to the TIGIT/PVR/DNAM-1 interaction. Accordingly, TIGIT and PVRIG co-blockade were shown to synergize in enhancing T cell activity and anti-tumor activity in preclinical models (Whelan S., Cancer Immunol. Res. 2019). PVRL2 together with PVR (ligand of TIGIT) were shown to be highly expressed on plasma cells and on CD14+ cells in BM of MM patients (Lozano E., Clin. Cancer Res. 2020). This study aimed at evaluating DNAM-1 axis receptors expression in MM patients' BM. Methods Fresh BM aspirates were collected from 21 MM patients with progressive disease (PD) or in complete response (CR) after obtaining IRB approval. BM mononuclear cells were isolated and single cell suspensions were obtained followed by staining with anti-human antibodies to evaluate DNAM-1 axis members and PD-1 expression. BM biopsies from 6 MM patients (each patient had 4 core on the Tissue Micro-Array T291 USBiomax) were stained for PVRL2 expression by immuno-histochemistry (IHC). Results Flow cytometry analysis of PD-1 and DNAM-1 axis receptors revealed a significant lower fraction of PD1+ cells among cell populations examined compared with other receptors. TIGIT expression was the highest on NK, CD8+ and NKT cells compared to CD4+ T cells, which is in line with previous published data (Lozano E. Clin. Cancer Res. 2020). In contrast, DNAM-1 was expressed on CD8+ T, NK and NKT cells with prominent high expression on CD4+ T cells (Fig 1A). The highest expression among the receptors was of PVRIG on all lymphoid populations, except CD4+ where DNAM-1 was more highly expressed. Importantly, 50% of CD8+ T cells co-expressed TIGIT and PVRIG, supporting a combinatorial therapeutic approach (Fig. 1B). Additionally, the expression of the PVRL2 ligand on MM plasma and endothelial cells was demonstrated by IHC. FACS analysis further supported PVRL2 expression on plasma cells in MM BM (Fig 2). A higher expression of PVRIG, TIGIT and PD-1 was present on DNAM-1 negative CD8+ T cells (Fig 3A, B), suggesting accumulation of exhausted cells in MM tumor microenvironment (TME) as previously described (Minnie S., Blood. 2018). PVRIG had significantly higher expression on DNAM+ cells, compared to PD-1 and TIGIT (Fig 3C), suggesting the potential of its blockade to enhance DNAM-1 activation and subsequent proliferation of earlier differentiated memory cells in MM TME. Finally, CR patients had a trend for higher DNAM-1 expression on CD8+ T cells compared to those with PD (Fig 3D). This is consistent with other reports in mice showing that the expression of DNAM-1 negatively correlates with BM myeloma cell numbers (Minnie S., Blood. 2018). Conclusions DNAM-1 axis receptors are dominantly expressed on lymphocytes in BM of MM patients, with PVRIG exhibiting the most prominent expression. The reduced expression of DNAM-1 in PD patients' TME, compared to CR patients, suggests a link between DNAM-1 axis and clinical outcomes. Recent data suggest TIGIT is an attractive target for blockade in MM. Our new findings highlight for the first time the dominant expression of PVRIG, as well as TIGIT, and suggest that combined blockade of TIGIT with PVRIG may potentially benefit MM patients, placing the DNAM-1 axis as a dominant pathway in MM therapy. Figure 1 Figure 1. Disclosures Frenkel: Compugen Ltd.: Current Employment, Other: in the event of frontal participation, I will be reimbursed for my travel expenses by Compugen Ltd.. Alteber: Compugen Ltd.: Current Employment. Cojocaru: Compugen Ltd.: Current Employment. Ophir: Compugen Ltd.: Current Employment.

scholarly journals PD-1 Blockade Reinvigorates Bone Marrow CD8+ T Cells from Patients with Multiple Myeloma in the Presence of TGF-β Inhibitors

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3241-3241
Author(s):  
Minsuk Kwon ◽  
Eui-Cheol Shin ◽  
Yoon Seok Choi
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Cytokine Production ◽  
Plasma Cells ◽  
Myeloma Cells ◽  
Tgf Β1

Programmed cell death (PD)-1/PD-Ligand 1(PD-L1) blockade that reinvigorates exhausted T cells has been approved for the treatment of various solid tumors and hematological malignancies. However, in a clinical trial of multiple myeloma (MM) patients, anti-PD-1 monotherapy did not result in a clinical response. Furthermore, clinical trials of combining PD-1 blockade with immunomodulatory drugs or anti-CD38 monoclonal antibody failed to demonstrate clinical benefits in MM patients. To overcome the limitation of anti-PD-1 therapy in MM, the phenotype and differentiation of CD8+ T cells need to be characterized in the bone marrow (BM) of MM patients, particularly by analyzing myeloma antigen-specific CD8+ T cells. In addition, the role of immunosuppressive factors abundant in the MM microenvironment should be considered, including TGF-β. First, we confirmed the upregulation of PD-1 and PD-L1 expression in CD8+ T cells and myeloma cells, respectively, from the BM of MM patients. PD-1-expressing CD8+ T cells from the BM of MM patients co-expressed other checkpoint inhibitory receptors including Tim-3, LAG-3, and TIGIT. We also investigated the expression of T-cell transcription factors, such as T-bet, and EOMES, which are related to T-cell differentiation. In BM from MM patients, PD-1+CD8+ T cells had a higher percentage of EomeshiT-betlo cells than PD-1-CD8+ T cells. These data demonstrate that PD-1-expressing CD8+ T cells from the BM of MM patients exhibit a terminally differentiated phenotype with co-expression of multiple immune checkpoint inhibitory receptors. These results were also observed in BM CD8+ T cells specific to myeloma antigens NY-ESO-1 and HM1.24. Next, we investigated proliferation and cytokine production of BM CD8+ T cells from MM patients. BM CD8+ T cells from MM patients exhibited reduced proliferation and cytokine production upon T cell receptor (TCR) stimulation, compared to BM CD8+ T cells from other control group such as of undetermined significance. However, both anti-PD-1 alone and combined blockade of PD-1 with other immune checkpoint receptors, such as Tim-3, Lag-3, or TIGIT, did not increase the proliferation of BM CD8+ T cells from MM patients. Likewise, anti-PD-1 treatment failed to induce reinvigoration of BM CD8+ T cells stimulated with HLA-A*0201-restricted myeloma antigen peptides, including NY-ESO-1157-165 and HM1.2422-30 peptides. These data demonstrate that blocking PD-1 is not sufficient to restore the function of BM CD8+ T cells from MM patients. It has been known that TGF-β, which is actively secreted by malignant plasma cells and BM stromal cells, can inhibit T-cell responses. We confirmed that the major source of TGF- β1 is plasma cells including myeloma cells among BMMCs from MM patients, and the number of TGF- β1-producing plasma cells, including myeloma cells, is increased in the BM of MM patients. We investigated whether blocking TGF-β signaling enhances reinvigoration of BM CD8+ T cells from MM patients. The combined blockade of PD-1 and TGF- β significantly increased the proliferation of BM CD8+ T cells from MM patients in the presence of TCR stimulation. The production of IFN-γ and TNF by BM CD8+ T cells was also rescued by combined blockade of PD-1 and TGF-β. Moreover, combination of anti-PD-1 antibody and TGF-β inhibitors increased proliferative responses of BM CD8+ T cells from HLA-A2+ MM patients stimulated with a mixture of HLA-A*0201-restricted myeloma antigen peptides (NY-ESO-1157-165 and HM1.2422-30 peptides). Thus, PD-1 blockade reinvigorates BM CD8+ T cells from MM patients in the presence of TGF-β inhibitors. Taken together, BM CD8+ T cells and myeloma antigen-specific CD8+ T cells express increased levels of PD-1 and have a terminally exhausted phenotype in MM patients. Under TGF-β inhibition, anti-PD-1 reinvigorates BM CD8+ T cells from MM patients, but PD-1 blockade alone does not restore the function of BM CD8+ T cells. Blocking both TGF-β and PD-1 can be a promising therapeutic strategy for the treatment of MM. Disclosures No relevant conflicts of interest to declare.

Early T Cell Recovery of Thymus-Derived Naive T Cells and NK Cells in Pediatrics Patients after T-Cell Depleted HLA-Haploidentical Stem Cell Transplantation for Thalassemia.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3816-3816 ◽  
Author(s):  
Antonella Isgro’ ◽  
Pietro Sodani ◽  
Marco Marziali ◽  
Buket Erer ◽  
Cecilia Alfieri ◽  
...  
Keyword(s):  
Bone Marrow ◽  
T Cells ◽  
Stem Cell ◽  
T Cell ◽  
Nk Cells ◽  
Cd8 T Cells ◽  
Stromal Cells ◽  
Cd4 T Cells ◽  
Th Cells ◽  
Post Transplant

Abstract Delayed immune recovery post transplant remains a significant obstacle and results in increased risk of infections. T cells are regenerated via 2 pathway, thymus-derived and peripheral expansion, processes for which IL-7 is critical. To analyse the mechanisms involved in immunological reconstitution, we studied six thalassemia patients after 20 and 60 days post T-cell-depleted HLA-haploidentical stem cell transplantation. The mean age ranged from 14 to 5 years. As controls, 6 healthy donors matched by sex and age with the patients were included. We analysed T cell subsets by flow cytometry. Stromal cells, obtained from long term culture of bone marrow mononuclear cells were analysed by immunohystochemistry and the stromal IL-7 production was analysed by ELISA. Day + 20 post transplant, the patients had significantly lower CD4+ T cells in comparison to the controls (1.9 ± 1.4% vs. 47.5 ± 6% respectively), and this reduced number was mainly observed in CD45RA+CD62L+ (naive phenotype) subset (1.3 ± 2% in patients vs. 52 ± 12% in controls). A significant decrease of peripheral CD45RA+CD31+ Th cells (thymic naive Th cells) (on average 0.5 ± 0.3% in patients vs. 37 ± 10% in controls) was observed, whereas CD8+ T cells numbers did not statistically differ between patients and controls (24.2 ± 33.7% vs. 20 ± 7%). NK cells were among the first lymphocytes to repopulate the peripheral blood, and up to 70% of these cells were CD56 bright whereas CD56dim CD16+ NK cells were reduced. Day + 60 post transplant an increase in the percentages of CD4+ T cells, naïve CD4+ cells and in thymic naïve Th cells were observed (3 ± 1.2%, 2.9 ± 2.1%, 2.7 ± 1%, respectively). CD8+ T cells were also increased (in mean 35 ± 27.5%). Compared with normal subjects, thalassemia patients showed a significant increase of CD4+ cell activation markers (CD95, HLA-DR and CCR5) and this was observed after 60 days post transplant, in parallel with the increase of the CD56dim CD16+ NK cells especially in the patients with full engraftment. Stromal cells secreted lower IL-7 levels (0.3 + 0.1 pg/mL vs. 0.8 + 0.1 pg/mL, in controls) and displayed by immunohistochemistry an altered phenotype (“macrophage-like” morphology). A significant decrease in total lymphocyte counts and depletion of CD4+ T cells expressing predominantly the CD45RA+CD62L+ phenotype were observed after 60 days post transplant. Also the CD4+CD45RA+CD31+ T cell subset was initially reduced but an increase has been observed at day + 60 post transplant, suggesting a thymus involvement in these patients. An IL7/IL7R pathway dysregulation has been also observed, possibly involving bone marrow stromal cells. NK cells were among the earliest lymphocytes to repopulate the peripheral blood, but. CD56dim CD16+ NK cells were increased after 60 days post transplant, especially in the patients with full engraftment, suggesting a role of donor NK cells on bone marrow engraftment. We hypothesize that the recovery of T cell compartment may be due to a deregulated production of new T cells starting from haematopoietic stem cells under the influence of stromal cytokines production.

scholarly journals Ex Vivo Evidence for the Combination of Immune Checkpoint Inhibition with TGF-β Blockade to Enhance Anti-Tumor T Cell Responses in Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3198-3198
Author(s):  
Yoon Seok Choi ◽  
Minsuk Kwon ◽  
Ik-Chan Song ◽  
Deog-Yeon Jo ◽  
Eui-Cheol Shin
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Plasma Cells ◽  
Ex Vivo ◽  
Immune Checkpoint Blockade ◽  
High Level

Abstract Immunosuppressive milieu of multiple myeloma is associated with various cellular and non-cellular factors that foster immune escape leading to tumor progression. While immune checkpoint inhibitors have achieved significant clinical success in many types of solid tumors, recent clinical trials of immune checkpoint blockade performed in patients with multiple myeloma failed to demonstrate significant anti-tumor efficacy. To enhance the clinical efficacy of immune checkpoint blockade in multiple myeloma, elaborate characterization of tumor antigen-specific T cells is an essential prerequisite. In the present study, we investigated the immunophenotypic and functional characteristics of tumor antigen-specific T cells in patients with multiple myeloma. In addition, using direct ex vivo experimental techniques, we tried to examine how to manipulate the immunosuppressive microenvironment to maximize anti-myeloma responses of the tumor-specific T cells. We first tried to define and characterize CD8+ T cell population capable of specifically recognizing and reacting to myeloma cells in bone marrow of myeloma patients using MHC multimer technique. In selected patients, we could successfully define CD8+ T cell population specifically recognizing the HLA-A*0201-restricted epitopes (either "SLLMWITQC" or "LLLGIGILV"), included in myeloma tumor antigens NY-ESO-1 and HM1.24. The vast majority of myeloma-antigen specific CD8+ T cells expressed high level of PD-1 and also co-expressed other types T cell inhibitory receptors. More strikingly, PD-1+ myeloma-specific CD8+ T cells had a distinct pattern of transcriptional factor expression, high level of Eomes and low level of T-bet (EomeshiT-betlo), indicating that they were profoundly exhausted functionally and that a simple blockade of PD-1/PD-L1 binding might not be enough to reinvigorate their anti-myeloma activity. Consistent with the immunophenotypes of myeloma-specific CD8+ T cells, malignant plasma cells in bone marrow of myeloma patients, defined as CD14-CD19-CD138+CS1+CD56hi, also expressed PD-L1 abundantly, compared to normal plasma cells, suggesting that PD-1/PD-L1 axis plays a major role in making myeloma-recognizing T cells unresponsive to TCR stimulation. Interestingly, in addition to tumor cells, various types of immune cells comprising myeloma microenvironment also highly express PD-L1. Indeed, in response to ex vivo TCR stimulation with anti-CD3, CD8+ T cells from myeloma bone marrow showed lower proliferation and reduced production of anti-tumor effector cytokines (INF-γ and TNF-α), compared to marrow-infiltrating CD8+ T cells of diffuse large B cell lymphoma and Hodgkin lymphoma patients with extensive bone marrow involvement. However, even in the presence of anti-PD-1, myeloma-specific responses of marrow-infiltrating CD8+ T cells was only modestly improved in terms of proliferation and cytokine production. Next, we investigated whether blocking TGF-β signaling in combination with PD-1/PD-L1 axis blockade could restore the function of marrow-infiltrating CD8+ T cells of myeloma patients, since TGF-β produced by clonal plasma cells and bone marrow stromal cells is critical in immunosuppressive microenvironment of multiple myeloma. To this end, we found that combination of TGF-β signaling blockade (either anti-TGF-β1 or Galunisertib, a small molecule inhibitor of TGF-β receptor I) with anti-PD-1 significantly increased the frequencies of IFN-γ- and/or TNF-α-producing CD8+ T cells in response to ex vivo TCR stimulation, compared to a single PD-1 or a single TGF-β blockade. Likewise, myeloma antigen-specific proliferation of CD8+ T cells was significantly enhanced with addition of TGF-β signaling blockade. Taken together, although PD-1/PD-L1 axis acts as a major component of immunosuppressive milieu in multiple myeloma, the efficacy of PD-1 blockades in multiple myeloma might be hampered by complicated microenvironment consisting of T cell-intrinsic and -extrinsic factors. Our results provide an ex vivo evidence of incorporating TGF- β signaling blockade to immune checkpoint inhibition to enhance anti-tumor T cell responses in multiple myeloma Disclosures No relevant conflicts of interest to declare.

scholarly journals CD4+ T-cell killing of multiple myeloma cells is mediated by resident bone marrow macrophages

2020 ◽  
Vol 4 (12) ◽  
pp. 2595-2605 ◽  
Author(s):  
Ole Audun W. Haabeth ◽  
Kjartan Hennig ◽  
Marte Fauskanger ◽  
Geir Åge Løset ◽  
Bjarne Bogen ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
T Cells ◽  
T Cell ◽  
Cd4 T Cells ◽  
Antigen Presenting Cells ◽  
Bone Marrow Microenvironment ◽  
Cd4 T Cell ◽  
Myeloma Cells ◽  
Antigen Presenting

Abstract CD4+ T cells may induce potent antitumor immune responses through interaction with antigen-presenting cells within the tumor microenvironment. Using a murine model of multiple myeloma, we demonstrated that adoptive transfer of idiotype-specific CD4+ T cells may elicit curative responses against established multifocal myeloma in bone marrow. This finding indicates that the myeloma bone marrow niche contains antigen-presenting cells that may be rendered tumoricidal. Given the complexity of the bone marrow microenvironment, the mechanistic basis of such immunotherapeutic responses is not known. Through a functional characterization of antitumor CD4+ T-cell responses within the bone marrow microenvironment, we found that killing of myeloma cells is orchestrated by a population of bone marrow–resident CD11b+F4/80+MHC-IIHigh macrophages that have taken up and present secreted myeloma protein. The present results demonstrate the potential of resident macrophages as powerful mediators of tumor killing within the bone marrow and provide a basis for novel therapeutic strategies against multiple myeloma and other malignancies that affect the bone marrow.

Spontaneous CD4 and CD8 Memory T Cell Responses Against MUC1 and Carcinoembryonic Antigen in Bone Marrow of Multiple Myeloma Patients.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3533-3533
Author(s):  
Mathias Witzens-Harig ◽  
Dirk Hose ◽  
Michael Hundemer ◽  
Simone Juenger ◽  
Anthony D. Ho ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
T Cells ◽  
T Cell ◽  
Carcinoembryonic Antigen ◽  
Cd8 T Cells ◽  
T Cell Responses ◽  
Cd8 T Cell ◽  
Cd4 T Cell ◽  
Cell Responses

Abstract Introduction: The bone marrow (BM) is a site of induction of tumour antigen specific T cell responses in many malignancies. We have demonstrated in the BM of myeloma patients high frequencies of spontaneously generated CD8 memory T cells with specificity for the myeloma-associated antigen MUC1, which were not detectable in the peripheral blood (PB). Besides MUC1, carcinoembryonic antigen was recently identified as a tumour-associated antigen in a patient with multiple myeloma. Up to now, spontaneous CD4 T cell responses against myeloma-associated antigens have not been reported. We undertook this study to evaluate to what extent spontaneous CD4 T cell responses against myeloma antigens occur during myeloma progression and if MUC1 or carcinoembryonic antigen represent immunogenic targets of spontaneous CD4 and CD8 T cell responses. Methods: Altogether, 78 patients with multiple myeloma were included into the study. Presence of functionally competent antigen specific T cells was evaluated by ex vivo short term (40 h) IFN-γ Elispot analyses. CD4 T cell responses against MUC1 were assessed by stimulation of purified CD4 T cell fractions with antigen pulsed, autologous dendritic cells (DCs) pulsed with two synthetic 100 meric polypeptides (pp1-100ss and (137–157)5 tr) that can be processed and presented via multiple HLA-II alleles. CD4- or CD8 T cell reactivity against carcinoembryonic antigen was assessed on purified CD4- and CD8 T cell fractions by pulsing DCs with highly purified CEA derived from culture supernatants of an epithelial carcinoma cell line. CD8 responses against MUC1 were analyzed by stimulation of HLA-A2+ patients derived purified T cells with DCs loaded with HLA-A2 restricted MUC1-derived nonameric peptide LLLLTVLTV. As negative control antigen for MUC1 polypeptides and CEA human IgG was used for pulsing DCs at identical concentrations while HLA-A2-restricted peptide SLYNTVATL derived from HIV was used as control antigen for LLLLTVLTV. Test antigen specific reactivity was defined by significantly increased numbers of IFN-γ spots in triplicate test wells compared to control wells (p<0.05, students T test). Results: 8 out of 19 tested patients (42%) contained MUC1 specific CD8 T cells in their bone marrow, while MUC1 specific CD4 T cells were detected in the BM of 30% of the cases (3/10). Interestingly, in peripheral blood (PB) CD8 reactivity against MUC1 was detectable in only 1 out of 10 patients while CD4 reactivity in PB was not detectable at all (0/10). CEA was specifically recognized by BM CD8 T cells from 5 out of 30 patients (17%) and by BM CD4 T cells from 5 out of 18 patients (28%). CEA was not recognized by CD4 and CD8 T cells in the PB of the same patients (0/13). Conclusion: Spontaneous T helper responses against tumour-associated antigens occur in the BM at similar levels as antigen specific CD8 T cells responses while they are virtually undetectable in the PB. Compared to CEA, MUC1 induces CD8 T cell responses in a much higher proportion of myeloma patients. Nevertheless, our data suggest that CEA may trigger spontaneous T cell responses against multiple myeloma in a considerable number of patients. Thus, systematic functional analyses of this potential tumour antigen in multiple myeloma appears to be justified.

Pentostatin Facilitates Fully MHC-Disparate Murine Mini-Transplantation.

Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 3539-3539
Author(s):  
Jacopo Mariotti ◽  
Kaitlyn Ryan ◽  
Paul Massey ◽  
Nicole Buxhoeveden ◽  
Jason Foley ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Flow Cytometry ◽  
T Cells ◽  
T Cell ◽  
Cd8 T Cells ◽  
Immune Suppression ◽  
Graft Rejection ◽  
Mixed Chimerism ◽  
Post Transplant

Abstract Abstract 3539 Poster Board III-476 Pentostatin has been utilized clinically in combination with irradiation for host conditioning prior to reduced-intensity allogeneic hematopoietic stem cell transplantation (allo-HSCT); however, murine models utilizing pentostatin to facilitate engraftment across fully MHC-disparate barriers have not been developed. To address this deficit in murine modeling, we first compared the immunosuppressive and immunodepleting effects of pentostatin (P) plus cyclophosphamide (C) to a regimen of fludarabine (F) plus (C) that we previously described. Cohorts of mice (n=5-10) received a three-day regimen consisting of P alone (1 mg/kg/d), F alone (100 mg/kg/d), C alone (50 mg/kg/d), or combination PC or FC. Combination PC or FC were each more effective at depleting and suppressing splenic T cells than either agent alone (depletion was quantified by flow cytometry; suppression was quantified by cytokine secretion after co-stimulation). The PC and FC regimens were similar in terms of yielding only modest myeloid suppression. However, the PC regimen was more potent in terms of depleting host CD4+ T cells (p<0.01) and CD8+ T cells (p<0.01), and suppressing their function (cytokine values are pg/ml/0.5×106 cells/ml; all comparisons p<0.05) with respect to capacity to secrete IFN-g (13±5 vs. 48±12), IL-2 (59±44 vs. 258±32), IL-4 (34±10 vs. 104±12), and IL-10 (15±3 vs. 34±5). Next, we evaluated whether T cells harvested from PC-treated and FC-treated hosts were also differentially immune suppressed in terms of capacity to mediate an alloreactive host-versus-graft rejection response (HVGR) in vivo when transferred to a secondary host. BALB/c hosts were lethally irradiated (1050 cGy; day -2), reconstituted with host-type T cells from PC- or FC-treated recipients (day -1; 0.1 × 106 T cells transferred), and challenged with fully allogeneic transplant (B6 donor bone marrow, 10 × 106 cells; day 0). In vivo HVGR was quantified on day 7 post-BMT by cytokine capture flow cytometry: absolute number of host CD4+ T cells secreting IFN-g in an allospecific manner was ([x 106/spleen]) 0.02 ± 0.008 in recipients of PC-treated T cells and 1.55 ± 0.39 in recipients of FC-treated cells (p<0.001). Similar results were obtained for allospecific host CD8+ T cells (p<0.001). Our second objective was to characterize the host immune barrier for engraftment after PC treatment. BALB/c mice were treated for 3 days with PC and transplanted with TCD B6 bone marrow. Surprisingly, such PC-treated recipients developed alloreactive T cells in vivo and ultimately rejected the graft. Because the PC-treated hosts were heavily immune depleted at the time of transplantation, we reasoned that failure to engraft might be due to host immune T cell reconstitution after PC therapy. In an experiment performed to characterize the duration of PC-induced immune depletion and suppression, we found that although immune depletion was prolonged, immune suppression was relatively transient. To develop a more immune suppressive regimen, we extended the C therapy to 14 days (50 mg/Kg) and provided a longer interval of pentostatin therapy (administered on days 1, 4, 8, and 12). This 14-day PC regimen yielded CD4+ and CD8+ T cell depletion similar to recipients of a lethal dose of TBI, more durable immune depletion, but again failed to achieve durable immune suppression, therefore resulting in HVGR and ultimate graft rejection. Finally, through intensification of C therapy (to 100 mg/Kg for 14 days), we were identified a PC regimen that was both highly immune depleting and achieved prolonged immune suppression, as defined by host inability to recover T cell IFN-g secretion for a full 14-day period after completion of PC therapy. Finally, our third objective was to determine with this optimized PC regimen might permit the engraftment of MHC disparate, TCD murine allografts. Indeed, using a BALB/c-into-B6 model, we found that mixed chimerism was achieved by day 30 and remained relatively stable through day 90 post-transplant (percent donor chimerism at days 30, 60, and 90 post-transplant were 28 ± 8, 23 ± 9, and 21 ± 7 percent, respectively). At day 90, mixed chimerism in myeloid, T, and B cell subsets was observed in the blood, spleen, and bone marrow compartments. Pentostatin therefore synergizes with cyclophosphamide to deplete, suppress, and limit immune reconstitution of host T cells, thereby allowing engraftment of T cell-depleted allografts across MHC barriers. Disclosures: No relevant conflicts of interest to declare.

PD-1+ T Cell Subsets in Follicular Lymphoma Tumor Microenvironment and Their Implications for Prognosis and Therapy

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2648-2648
Author(s):  
Fuliang Chu ◽  
Wencai Ma ◽  
Tomohide Yamazaki ◽  
Myriam Foglietta ◽  
Durga Nattama ◽  
...  
Keyword(s):  
Flow Cytometry ◽  
T Cells ◽  
T Cell ◽  
Follicular Lymphoma ◽  
Cd8 T Cells ◽  
Cd4 T Cells ◽  
T Cell Subsets ◽  
Prognostic Impact ◽  
T Cell Exhaustion ◽  
Cell Exhaustion

Abstract Abstract 2648 Background: Programmed death (PD)-1, a coinhibitory receptor expressed by effector T cells (Teffs) is highly expressed on intratumoral T cells (mean 61%, range 34–86% for CD4+ T cells and mean 44%, range 31–69% for CD8+ T cells) in follicular lymphoma (FL), a finding associated with impaired ability to recognize autologous tumor (Nattamai et al, ASH 2007). Hence, PD-1 expression would be expected to confer an unfavorable prognosis in FL. However, correlation of PD-1 with clinical outcome in FL has been inconsistent with two studies showing favorable (Carreras et al, J Clin Oncol 2009; Wahlin et al, Clin Cancer Res 2010) and one study showing unfavorable (Richendollar et al, Hum Pathol 2011) outcome. While differences in method of analysis and type of treatment may explain the disparate results, a more complex model may be necessary to understand the prognostic impact of PD-1 in FL as PD-1 is expressed not only on antitumor Teffs but also on protumor follicular helper T cells (Tfh) and regulatory T cells (Tregs). Methods: To determine the nature of PD-1+ T cells in FL we performed comprehensive genomic and immunologic studies. By flow cytometry, we observed that the intratumoral CD4+ T cells in FL may be categorized into 3 subsets based on PD-1 expression - PD-1 high (PD-1hi), intermediate (PD-1int), and low (PD-1lo). The intratumoral CD8+ T cells consisted of PD-1int and PD-1lo subsets. The 3 CD4+ T cell subsets were FACSorted from FL tumors (n=3) and whole genome gene expression profiling (GEP) was performed. T cell subsets sorted similarly from tonsils served as controls for reactive follicular hyperplasia (FH) (n=3). Differentially expressed genes in GEP studies were confirmed at the mRNA level by real-time PCR (n=5) and at the protein level by flow cytometry when antibodies were available (n=5–10). Results: Our results suggested that CD4+PD-1hi T cells are Tfh cells (CXCR5hiBcl6hi ICOShiCD40LhiSAPhiPRDM1loIL-4hiIL-21hi); the CD4+PD-1int T cells consisted of a mixture of activated Teffs (CD45RO+CD45RA−) including Th1 (Tbet+IFNg+), Th2 (IL-10+), and Th17 cells (RORc+IL-17+), and Tregs (Foxp3+CD25hiCD127lo); and the CD4+PD-1lo T cells consisted of a mixture of activated Teffs (CD45RO+CD45RA− but IFNg−IL-4−IL-10−IL-17−), Tregs, and naïve T cells (CD45RO−CD45RA+CCR7+). Although these subsets were present in both FL and FH, there were important differences. IL-4 expression was significantly higher in Tfh in FL vs. FH and may play a role in the pathogenesis of FL. IL-17 expression was low and expression of coinhibitory molecules BTLA and CD200 was high in CD4+PD-1int T cells in FL vs. FH. BTLA and CD200 were also increased in CD8+PD-1int T cells in FL vs. FH. However, other coinhibitory molecules (LAG-3, Tim-3, CD160, CTLA-4, CD244, KLRG1) were not significantly different between FL and FH. CD4+PD-1int T cells also had higher expression of BATF, a transcription factor associated with T cell exhaustion in FL vs. FH. Together, these results suggest that the CD4+PD-1int T cells in FL may be in a state of T cell exhaustion whereas the CD4+PD-1int T cells in FH may represent recently activated Teffs. Consistent with this, blocking PD-1 with anti-PD-1 blocking antibody significantly enhanced proliferation and the production of Th1 (IFNg, TNFa) but not Th2 (IL-4, IL-5, IL-10, IL-13) cytokines by intratumoral CD4+ and CD8+ T cells in response to stimulation with autologous FL tumor cells (n=3). As expected, Tregs were increased in number in FL vs. FH and were present in the PD-1int and PD-1lo T cell subsets. We found 74% (range 40–97%) of FL Tregs expressed PD-1. Among the CD4+PD-1lo and CD8+PD-1lo T cells, there were more activated Teffs and fewer naïve T cells in FL vs. FH. Conclusions: Our results suggest that the PD-1+ T cells in FL are comprised of a mixture of antitumor Teffs and protumor Tfh and Tregs. The prognostic impact of PD-1+ T cells in FL may dependent on the relative frequency of these subsets as ligation of PD-1 may produce favorable (inhibition of protumor Tfh and Tregs) or unfavorable (inhibition of antitumor Teffs) outcomes by inhibiting or promoting tumor growth, respectively. Conversely, our results imply that agents that block PD-1/PD-ligand pathway may have the opposite effect on these T cell subsets and enumeration of the intratumoral PD-1+ T cell subsets may serve as biomarker to predict response to these agents in FL and possibly other B-cell malignancies. Disclosures: Dong: GSK: Consultancy; Genentech: Honoraria; Tempero: Consultancy; Ono: Consultancy; AnaptysBio: Consultancy. Neelapu:Cure Tech Ltd: Research Funding.

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